The candidate should be able to drive and manage end-to-end architecture, platform development, consolidate legacy systems to a single source of truth, and ensure the platform aligns to business outcomes through strong stakeholder partnership, agile execution, and measurable ROI. Lead the delivery, maintenance and support of the Data & Analytics Architecture and Platform ensuring reliability, security, cost-efficiency, and business alignment. 8+ years of experience as an Information Technology manager including DevOps, cloud and data architecture in a large-scale, hybrid cloud and on-prem environment. 5+ years of experience leading implementation of scalable computing infrastructure for data and AI solutions, including cloud architecture, DevOps and MLOps (AWS, Azure, Google Cloud). 5+ years of experience with data engineering and data pipelines on cloud platforms, databases and data warehouses.
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